




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE:     Dict									= logging.get_logger(__name__)

SCREAMING_SNAKE_CASE:     List[Any]									= {
    '''xlm-mlm-en-2048''': '''https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json''',
    '''xlm-mlm-ende-1024''': '''https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json''',
    '''xlm-mlm-enfr-1024''': '''https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json''',
    '''xlm-mlm-enro-1024''': '''https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json''',
    '''xlm-mlm-tlm-xnli15-1024''': '''https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json''',
    '''xlm-mlm-xnli15-1024''': '''https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json''',
    '''xlm-clm-enfr-1024''': '''https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json''',
    '''xlm-clm-ende-1024''': '''https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json''',
    '''xlm-mlm-17-1280''': '''https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json''',
    '''xlm-mlm-100-1280''': '''https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json''',
}



class    lowercase_		(__A ):
						lowerCAmelCase__			      ='''xlm'''
						lowerCAmelCase__			      ={
						    '''hidden_size''': '''emb_dim''',
						    '''num_attention_heads''': '''n_heads''',
						    '''num_hidden_layers''': '''n_layers''',
						    '''n_words''': '''vocab_size''',  # For backward compatibility
						}



						def __init__(			self	:   Tuple					,							snake_case__	:   str=3_01_45					,							snake_case__	:   Tuple=20_48					,							snake_case__	:   List[str]=12					,							snake_case__	:   Optional[Any]=16					,							snake_case__	:   Tuple=0.1					,							snake_case__	:   List[Any]=0.1					,							snake_case__	:   str=True					,							snake_case__	:   Optional[int]=False					,							snake_case__	:   List[Any]=False					,							snake_case__	:   Any=False					,							snake_case__	:   Any=1					,							snake_case__	:   Union[str, Any]=True					,							snake_case__	:   List[Any]=5_12					,							snake_case__	:   Optional[int]=20_48**-0.5					,							snake_case__	:   List[str]=1e-12					,							snake_case__	:   Tuple=0.02					,							snake_case__	:   Optional[int]=0					,							snake_case__	:   List[str]=1					,							snake_case__	:   Optional[Any]=2					,							snake_case__	:   Optional[int]=3					,							snake_case__	:   Optional[Any]=5					,							snake_case__	:   str=True					,							snake_case__	:   int="first"					,							snake_case__	:   str=True					,							snake_case__	:   str=None					,							snake_case__	:   str=True					,							snake_case__	:   Any=0.1					,							snake_case__	:   List[str]=5					,							snake_case__	:   Dict=5					,							snake_case__	:   Optional[int]=0					,							snake_case__	:   List[Any]=0					,							snake_case__	:   Any=2					,							snake_case__	:   int=0					,							**snake_case__	:   Optional[Any]					,							):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							vocab_size
								SCREAMING_SNAKE_CASE_					      =							emb_dim
								SCREAMING_SNAKE_CASE_					      =							n_layers
								SCREAMING_SNAKE_CASE_					      =							n_heads
								SCREAMING_SNAKE_CASE_					      =							dropout
								SCREAMING_SNAKE_CASE_					      =							attention_dropout
								SCREAMING_SNAKE_CASE_					      =							gelu_activation
								SCREAMING_SNAKE_CASE_					      =							sinusoidal_embeddings
								SCREAMING_SNAKE_CASE_					      =							causal
								SCREAMING_SNAKE_CASE_					      =							asm
								SCREAMING_SNAKE_CASE_					      =							n_langs
								SCREAMING_SNAKE_CASE_					      =							use_lang_emb
								SCREAMING_SNAKE_CASE_					      =							layer_norm_eps
								SCREAMING_SNAKE_CASE_					      =							bos_index
								SCREAMING_SNAKE_CASE_					      =							eos_index
								SCREAMING_SNAKE_CASE_					      =							pad_index
								SCREAMING_SNAKE_CASE_					      =							unk_index
								SCREAMING_SNAKE_CASE_					      =							mask_index
								SCREAMING_SNAKE_CASE_					      =							is_encoder
								SCREAMING_SNAKE_CASE_					      =							max_position_embeddings
								SCREAMING_SNAKE_CASE_					      =							embed_init_std
								SCREAMING_SNAKE_CASE_					      =							init_std
								SCREAMING_SNAKE_CASE_					      =							summary_type
								SCREAMING_SNAKE_CASE_					      =							summary_use_proj
								SCREAMING_SNAKE_CASE_					      =							summary_activation
								SCREAMING_SNAKE_CASE_					      =							summary_proj_to_labels
								SCREAMING_SNAKE_CASE_					      =							summary_first_dropout
								SCREAMING_SNAKE_CASE_					      =							start_n_top
								SCREAMING_SNAKE_CASE_					      =							end_n_top
								SCREAMING_SNAKE_CASE_					      =							mask_token_id
								SCREAMING_SNAKE_CASE_					      =							lang_id

								if "n_words" in kwargs:
										SCREAMING_SNAKE_CASE_					      =							kwargs['n_words']

								super().__init__(pad_token_id=UpperCamelCase__					,							bos_token_id=UpperCamelCase__					,							**UpperCamelCase__  )



class    lowercase_		(__A ):



						@property
						def 	__a					(			self	:   List[str]  ):

								"""simple docstring"""

								if self.task == "multiple-choice":
										SCREAMING_SNAKE_CASE_					      =							{0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
										SCREAMING_SNAKE_CASE_					      =							{0: 'batch', 1: 'sequence'}
								return OrderedDict(
								    [
								        ('input_ids', dynamic_axis),
								        ('attention_mask', dynamic_axis),
								        ('token_type_ids', dynamic_axis),
								    ]  )







'''simple docstring'''







def       __UpperCamelCase					(      lowercase_       :  list[int]   ,       lowercase_       :  list[int]   ,       lowercase_       :  int   ):
       """simple docstring"""




       return not any(
           neighbour == 1 and colored_vertices[i] == color
           for i, neighbour in enumerate(lowercase_   )   )


def       __UpperCamelCase					(      lowercase_       :  list[list[int]]   ,       lowercase_       :  int   ,       lowercase_       :  list[int]   ,       lowercase_       :  int   ):
       """simple docstring"""




       if index == len(lowercase_   ):
              return True

       # Recursive Step
       for i in range(lowercase_   ):
              if valid_coloring(graph[index]   ,       lowercase_   ,       lowercase_   ):
                     # Color current vertex
                     a_						     =			i
                     # Validate coloring
                     if util_color(lowercase_   ,       lowercase_   ,       lowercase_   ,       index + 1   ):
                            return True
                     # Backtrack
                     a_						     =			-1
       return False


def       __UpperCamelCase					(      lowercase_       :  list[list[int]]   ,       lowercase_       :  int   ):
       """simple docstring"""




       a_						     =			[-1] * len(lowercase_   )

       if util_color(lowercase_   ,       lowercase_   ,       lowercase_   ,       0   ):
              return colored_vertices

       return []




